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Automated Symbolic Upscaling: Model Generation for Extended Applicability Regimes, Part 2
  • Kyle Pietrzyk,
  • Ilenia Battiato
Kyle Pietrzyk
Stanford University
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Ilenia Battiato
Stanford University

Corresponding Author:[email protected]

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Abstract

In this second part of the two paper series, we detail an algorithmic procedure for systematically implementing the generalized closure form strategy presented in Part 1. After encoding the algorithm into Symbolica, an automated upscaling framework, we upscale two reactive mass transport problems and numerically validate the resulting nonlinear homogenized models. In both problems, nontrivial closure forms and closure problems are automatically formulated using the encoded strategy with no human interaction, nor prior knowledge regarding the closure required for the systems. We hope these demonstrations spark further interest in automated analytical frameworks for multi-scale modeling, as such capabilities are invaluable for generating rigorous multiscale models of complex phenomena in geological porous media.